Sökning: "Oscar Carlsson"
Hittade 5 avhandlingar innehållade orden Oscar Carlsson.
1. Enabling Large IoT Platforms in Industrial Process Automation
Sammanfattning : Internet of Things is envisioned to be a cornerstone in the connected, comfortable, efficient, and productive society of tomorrow. Part of this vision is the Industrial Internet of Things where connected devices all over industrial installations, in addition to performing the duties of the automation systems of today, provide countless opportunities for improvements thanks to dynamic access to systems and information previously obscured. LÄS MER
2. Engineering of IoT Automation Systems
Sammanfattning : Major societal challenges such as environmental sustainability, availability of energy and raw materials, and globalisation are creating new requirements for many actors in society. These new requirements relate to efficiency, flexibility, sustainability, and competitiveness. LÄS MER
3. Fault detection in water resource recovery facilities
Sammanfattning : Reliable sensor values are important for resource-efficient control and operations of wastewater treatment processes. Automatic fault detection methods are necessary to monitor the increasing amount of data produced in any modern water resource recovery facility (WRRF). LÄS MER
4. Sensor Fault Detection and Process Monitoring in Water Resource Recovery Facilities
Sammanfattning : Water resource recovery facilities (WRRFs) operate 24/7 to reduce the environmental impact from wastewater on receiving waters. Inaccurate measurements hinder the improvement of operations, limits the performance of automatic control, and deteriorate data quality for decision support and other purposes. LÄS MER
5. Shape-based Representations and Boosting for Visual Object Class Detection : Models and methods for representaion and detection in single and multiple views
Sammanfattning : Detection of generic visual object classes (i.e. cars, dogs, mugs or people) in images is a task that humans are able to solve with remarkable ease. Unfortunately this has proven a very challenging task for computer vision. LÄS MER